319 search results - page 32 / 64 » Learning Nonlinear Manifolds from Time Series |
BMCBI
2007
14 years 9 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
JMLR
2010
14 years 4 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the...
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ACCV
2007
Springer
15 years 3 months ago
2007
Springer
We consider the problem of monocular 3d body pose tracking from video sequences. This task is inherently ambiguous. We propose to learn a generative model of the relationship of bo...